Feedforward neural network

Known as: Feed-forward neural networks, Feedforward neural networks, Feedforward 
A feedforward neural network is an artificial neural network wherein connections between the units do not form a cycle. As such, it is different from… (More)
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… (More)
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Highly Cited
2012
Highly Cited
2012
When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test data… (More)
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Highly Cited
2006
Highly Cited
2006
According to conventional neural network theories, single-hidden-layer feedforward networks (SLFNs) with additive or radial basis… (More)
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Highly Cited
2004
Highly Cited
2004
It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major… (More)
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Highly Cited
1999
Highly Cited
1999
There have been several books written on Neural Networks from the engineering point of view. In recent years, some books have… (More)
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Highly Cited
1997
Highly Cited
1997
Neural-network theorems state that only when there are infinitely many hidden units is a four-layered feedforward neural network… (More)
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Highly Cited
1997
Highly Cited
1997
This paper introduces quantum neural networks (QNNs), a class of feedforward neural networks (FFNNs) inherently capable of… (More)
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Highly Cited
1994
Highly Cited
1994
The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for… (More)
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Highly Cited
1989
Highly Cited
1989
Abstraet--A new approach to unsupervised learning in a single-layer linear feedforward neural network is discussed. An optimality… (More)
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Highly Cited
1989
Highly Cited
1989
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern… (More)
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